High clonality of Mycobacterium avium subsp. paratuberculosis field isolates from red deer revealed by two different methodological approaches of comparative genomic analysis
Articolo
Data di Pubblicazione:
2024
Citazione:
High clonality of Mycobacterium avium subsp. paratuberculosis field isolates from red deer revealed by two different methodological approaches of comparative genomic analysis / S. Turco, S. Russo, D. Pietrucci, A. Filippi, M. Milanesi, C. Luzzago, C. Garbarino, G. Palladini, G. Chillemi, M. Ricchi. - In: FRONTIERS IN VETERINARY SCIENCE. - ISSN 2297-1769. - 11:(2024), pp. 1301667.1-1301667.11. [10.3389/fvets.2024.1301667]
Abstract:
Mycobacterium avium subsp. paratuberculosis (MAP) is the aetiological agent
of paratuberculosis (Johne’s disease) in both domestic and wild ruminants.
In the present study, using a whole-genome sequence (WGS) approach,
we investigated the genetic diversity of 15 Mycobacterium avium field strains
isolated in the last 10 years from red deer inhabiting the Stelvio National Park and
affected by paratuberculosis. Combining de novo assembly and a reference-
based method, followed by a pangenome analysis, we highlight a very close
relationship among 13 MAP field isolates, suggesting that a single infecting
event occurred in this population. Moreover, two isolates have been classified as
Mycobacterium avium subsp. hominissuis, distinct from the other MAPs under
comparison but close to each other. This is the first time that this subspecies
has been found in Italy in samples without evident epidemiological correlations,
having been isolated in two different locations of the Stelvio National Park and
in different years. Our study highlights the importance of a multidisciplinary
approach incorporating molecular epidemiology and ecology into traditional
infectious disease knowledge in order to investigate the nature of infectious
disease in wildlife populations.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
Mycobacterium avium subsp. paratuberculosis; red deer; wild animals; Italy; whole genome sequencing; epidemiology
Elenco autori:
S. Turco, S. Russo, D. Pietrucci, A. Filippi, M. Milanesi, C. Luzzago, C. Garbarino, G. Palladini, G. Chillemi, M. Ricchi
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